Best Practices for Vector Search
TLDR Gio asked about best practices for vector search in custom search engines. Kishore Nallan suggested working on paragraphs instead of sentences for better context.
Feb 28, 2023 (7 months ago)
Like imagine I wanted to build a custom search engine for Facebook FAQs. Should I vectorize data sentence by sentence or paragraph by paragraph?
Kishore Nallan12:02 PM
> Should I vectorize data sentence by sentence or paragraph by paragraph?
All the demos I've seen on Wikipedia etc. work on paragraphs. Sentences are usually too small to have enough context.
Indexed 2779 threads (79% resolved)
Understanding Vector Search with Typesense
In a chat with em1nos and Andrew, Kishore Nallan explained how Vector Search works. He clarified that it can be useful for recommendations and personalization, but it requires machine learning to convert data into vectors before searching.
Optimizing Dataset of Podcast Feeds for a Searchable Database
Alexander seeks advice on optimizing a podcast database for search. Kishore Nallan suggests data size and stopwords impact RAM usage, and that benchmarking on 1M records would be useful. satish raises the potential need for vector searching. Both recommend feeding user activity data into ML models for relevancy ranking. Collaboration was suggested.
Troubleshooting Vector Search Setup in Typesense
Gio encountered issues setting up vector search using Typesense. Jason provided guidance and eventually offered to help via a call.